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Merger Simulation with Brand-Level Margin Data: Extending PCAIDS with Nests

  • Rubinfeld, Daniel L.
  • Epstein, Roy J.
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    We present a method to calibrate empirically the demand parameters in a merger simulation model by using brand-level profit margin data. While the approach can be generalized, we develop these ideas within a particular framework — the PCAIDS (proportionality-calibrated AIDS) model. We show that the brand-level margins effectively define product “nests†(products that are especially close substitutes) and substantially increase the flexibility of PCAIDS for modeling critical own- and cross-price elasticities. The model is particularly valuable for transactions at the wholesale level (where scanner data do not exist) and for geographic markets that span national borders (where comparable data may not be available), since other methods to derive elasticities, particularly those based on econometric estimation, may not be possible or may not be reliable.

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    Paper provided by Berkeley Olin Program in Law & Economics in its series Berkeley Olin Program in Law & Economics, Working Paper Series with number qt9w99h2vd.

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    Date of creation: 20 Aug 2003
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    Handle: RePEc:cdl:oplwec:qt9w99h2vd
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    1. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
    2. Werden, Gregory J & Froeb, Luke M, 1994. "The Effects of Mergers in Differentiated Products Industries: Logit Demand and Merger Policy," Journal of Law, Economics and Organization, Oxford University Press, vol. 10(2), pages 407-26, October.
    3. Jerry HAUSMAN & Gregory LEONARD & J. Douglas ZONA, 1994. "Competitive Analysis with Differentiated Products," Annales d'Economie et de Statistique, ENSAE, issue 34, pages 159-180.
    4. Roy J. Epstein & Daniel L. Rubinfeld, 2002. "Merger Simulation: A Simplified Approach with New Applications," Industrial Organization 0201002, EconWPA.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
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